Constructing custom-made radiotranscriptomic signatures of vascular inflammation from routine CT angiograms: a prospective outcomes validation study in COVID-19

Constructing custom-made radiotranscriptomic signatures of vascular inflammation from routine CT angiograms: a prospective outcomes validation study in COVID-19

Background Direct evaluation of vascular inflammation in patients with COVID-19 would facilitate more efficient trials of new treatments and identify patients at risk of long-term complications who might respond to treatment. We aimed to develop a novel artificial intelligence (AI)-assisted image an...

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Main Authors: Kotanidis, CP, Xie, C, Alexander, D, Rodrigues, JCL, Burnham, K, Mentzer, A, O’Connor, D, Knight, J, Siddique, M, Lockstone, H, Thomas, S, Kotronias, R, Oikonomou, EK, Badi, I, Lyasheva, M, Shirodaria, C, Lumley, SF, Constantinides, B, Sanderson, N, Rodger, G, Chau, KK, Lodge, A, Tsakok, M, Gleeson, F, Adlam, D, Rao, P, Indrajeet, D, Deshpande, A, Bajaj, A, Hudson, BJ, Srivastava, V, Farid, S, Krasopoulos, G, Sayeed, R, Ho, L-P, Neubauer, S, Newby, DE, Channon, KM, Deanfield, J, Antoniades, C, Ahern, DJ, Ai, Z, Ainsworth, M, Allan, C, Allcock, A, Angus, B, Ansari, MA, Arancibia-Cárcamo, C, Aschenbrenner, D, Attar, M
Formato: Journal article
Idioma:English
Publicado: Elsevier 2022

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